Multidimensional Signal, Image, and Video Processing and Coding (eBook)

John W. Woods (Autor)

eBook Download: PDF | EPUB

2011 | 2. Auflage
616 Seiten
Elsevier Science (Verlag)
978-0-12-381421-0 (ISBN)

Infos

Digital images have become mainstream of late notably within HDTV, cell phones, personal cameras, and many medical applications. The processing of digital images and video includes adjusting illumination, manufacturing enlargements/reductions, and creating contrast. This development has made it possible to take long forgotten, badly damaged photos and make them new again with image estimation. This fully revised and expanded second edition, ,will give you ,the necessary understanding of image and video processing concepts to contribute to this hot technology's future advances. Important new topics include introductory random processes, image enhancement and analysis, and the new MPEG scalable video coding standard.

• Only R&D level tutorial that gives an integrated treatment of image and video processing - topics that are interconnected.
• New chapters on introductory random processes, information theory, and image enhancement and analysis
• Coverage and discussion of the latest standards in video coding: H.264/AVC and the new scalable video standard (SVC)

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Multidimensional Signal, Image, and Video Processing and Coding gives a concise introduction to both image and video processing, providing a balanced coverage between theory, applications and standards. It gives an introduction to both 2-D and 3-D signal processing theory, supported by an introduction to random processes and some essential results from information theory, providing the necessary foundation for a full understanding of the image and video processing concepts that follow. A significant new feature is the explanation of practical network coding methods for image and video transmission. There is also coverage of new approaches such as: super-resolution methods, non-local processing, and directional transforms. Multidimensional Signal, Image, and Video Processing and Coding also has on-line support that contains many short MATLAB programs that complement examples and exercises on multidimensional signal, image, and video processing. There are numerous short video clips showing applications in video processing and coding, plus a copy of the vidview video player for playing .yuv video files on a Windows PC and an illustration of the effect of packet loss on H.264/AVC coded bitstreams. New to this edition: New appendices on random processes, information theory New coverage of image analysis - edge detection, linking, clustering, and segmentation Expanded coverage on image sensing and perception, including color spaces Now summarizes the new MPEG coding standards: scalable video coding (SVC) and multiview video coding (MVC), in addition to coverage of H.264/AVC Updated video processing material including new example on scalable video coding and more material on object- and region-based video coding More on video coding for networks including practical network coding (PNC), highlighting the significant advantages of PNC for both video downloading and streaming New coverage of super-resolution methods for image and video Only R&D level tutorial that gives an integrated treatment of image and video processing - topics that are interconnected New chapters on introductory random processes, information theory, and image enhancement and analysis Coverage and discussion of the latest standards in video coding: H.264/AVC and the new scalable video standard (SVC)

Inhalt

Front Cover 1
Multidimensional Signal, Image, and Video Processing and Coding 4
Copyright 5
Table of Contents 6
Preface 16
Chapter 1. Two-Dimensional Signals and Systems 20
1.1 Two-Dimensional Signals 20
1.2 2-D Discrete-Space Fourier Transform 32
Conclusions 49
Problems 49
References 53
Chapter 2. Sampling in Two Dimensions 56
2.1 Sampling Theorem—Rectangular Case 56
2.2 Sampling Theorem—General Regular Case 69
2.3 Change of Sample Rate 77
2.4 Sample-Rate Change—General Case 85
Conclusions 88
Problems 88
References 93
Chapter 3. Two-Dimensional Systems and Z-Transforms 94
3.1 Linear Spatial or 2-D Systems 94
3.2 Z-Transforms 98
3.3 Regions of Convergence 100
3.4 Some Z-Transform Properties 104
3.5 2-D Filter Stability 111
Conclusions 121
Problems 122
References 125
Chapter 4. 2-D Discrete-Space Transforms 128
4.1 Discrete Fourier Series 128
4.2 Discrete Fourier Transform 134
4.3 2-D Discrete Cosine Transform 144
4.4 Subband/Wavelet Transform 152
4.5 Fast Transform Algorithms 162
4.6 Sectioned Convolution Methods 164
Conclusions 165
Problems 165
References 169
Chapter 5. Two-Dimensional Filter Design 172
5.1 FIR Filter Design 172
5.2 IIR Filter Design 187
5.3 Subband/Wavelet Filter Design 196
Conclusions 203
Problems 204
References 209
Chapter 6. Image Perception and Sensing 212
6.1 Light and Luminance 212
6.2 Still Image Visual Properties 214
6.3 Time-Variant Human Visual System Properties 219
6.4 Color 222
6.5 Color Spaces 228
6.6 Image Sensors and Displays 231
Conclusions 238
Problems 238
References 239
Chapter 7. Image Enhancement and Analysis 242
7.1 Simple Image Processing Filters 242
7.2 Image Enhancement 247
7.3 Image Analysis 254
7.4 Object Detection 267
Conclusions 272
Problems 272
References 274
Chapter 8. Image Estimation and Restoration 276
8.1 Two-Dimensional Random Fields 276
8.2 Estimation for Random Fields 284
8.3 Two-Dimensional Recursive Estimation 289
8.4 Inhomogeneous Gaussian Estimation 301
8.5 Estimation in the Subband/Wavelet Domain 304
8.6 Bayesian and Maximum a Posteriori Estimation 308
8.7 Image Identification and Restoration 317
8.8 Non-Bayesian Methods 325
8.9 Image Superresolution 330
8.10 Color Image Processing 333
Conclusions 334
Problems 335
Appendix: Random Processes 338
References 344
Chapter 9. Digital Image Compression 348
9.1 Introduction 348
9.2 Transformation 350
9.3 Quantization 354
9.4 Entropy Coding 365
9.5 DCT Coder 369
9.6 SWT Coder 373
9.7 JPEG 2000 388
9.8 Color Image Coding 389
9.9 Directional Transforms 391
9.10 Robustness Considerations 394
Conclusions 395
Problems 395
Appendix on Information Theory 398
References 410
Chapter 10. Three-Dimensional and Spatiotemporal Processing 412
10.1 3-D Signals and Systems 412
10.2 3-D Sampling and Reconstruction 415
10.3 Spatiotemporal Signal Processing 418
10.4 Spatiotemporal Markov Models 425
Conclusions 431
Problems 431
References 432
Chapter 11. Digital Video Processing 434
11.1 Interframe Processing 434
11.2 Motion Estimation and Motion Compensation 440
11.3 Motion-Compensated Filtering 453
11.4 Bayesian Method for Estimating Motion 466
11.5 Restoration of Degraded Video and Film 472
11.6 Super-Resolution of Video 474
Conclusions 478
Problems 478
Appendix: Digital Video Formats 480
References 483
Chapter 12. Digital Video Compression 486
12.1 Intraframe Coding 487
12.2 Interframe Coding 496
12.3 Early Interframe Coding Standards 499
12.4 Interframe SWT Coders 505
12.5 Scalable Video Coders 512
12.6 Current Interframe Coding Standards 522
12.7 Nonlocal Intraprediction 536
12.8 Object-Based Coding 538
12.9 Comments on the Sensitivity of Compressed Video 541
Conclusions 542
Problems 542
References 544
Chapter 13. Video Transmission over Networks 548
13.1 Video on IP Networks 548
13.2 Robust SWT Video Coding (Bajic) 559
13.3 Error-Resilience Features of H.264/AVC 569
13.4 Joint Source–Network Coding 574
Conclusions 587
Problems 587
References 589
Index 594
Color Plate 618

Produkt-Details

• Erscheint lt. Verlag: 31.5.2011
• Sprache: englisch
• Themenwelt: Informatik ► Grafik / Design ► Digitale Bildverarbeitung
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Naturwissenschaften
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• ISBN-10: 0-12-381421-9 / 0123814219
• ISBN-13: 978-0-12-381421-0 / 9780123814210